Senior Data Operations Engineer

Senior Data Operations Engineer 

Austin, TX (Onsite 4 days per week)

Acrisure Innovation is where human expertise meets advanced technology.

Acrisure Innovation is a fast paced, AI-driven team building innovative software to disrupt the $6T+ insurance industry.  Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science. 

At the core of our operating model is our technology: we’re building a digital marketplace for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest growing insurance brokerage globally. By leveraging technology to push the boundaries of understanding and transferring risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries.

Our culture is strong. We are a collaborative company of entrepreneurial, innovative, and talented people who believe in our future. We outthink and out work the competition. We look outside our walls and are energized by our fast-paced trajectory.

Our vision for the future is clear. We have limitless potential to achieve unprecedented success in the insurance industry. To achieve our opportunity, a best-in-class Team must support us.

Learn more about Acrisure Innovation: https://builtin.com/company/acrisure-innovation

The Innovation team’s mission is to unify data across the enterprise to optimize business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by building a data lakehouse that powers analytics and reporting platforms, and business processes that provide quality data, in a timely fashion, from any channel of the company and present them in such a manner as to maximize the value of that data for both internal and external customers. 

We’re seeking a skilled Senior Data Ops Engineer to join our Data & Technology team. This person will be instrumental in monitoring and supporting our modern data integration pipelines—primarily built on Azure Data Factory (ADF), Databricks, PowerBI, and SQL Server. While legacy SSIS is still in place, our focus is on modernizing the stack. 

The ideal candidate will proactively troubleshoot ETL jobs, manage data pipelines, help land external data into the Enterprise Data Lakehouse, and ensure seamless performance of integrations. This is a cross-functional role, working closely with Data Engineering, Data Intelligence, and Analytics teams. 

Responsibilities: 

• Onboard and curate data sources including data preparation/ELT and modeling to enable data consumption by analytics and AI teams

• Act as a Solution Architect and Technology Leader – ability to make decisions in the face of ambiguity and solve difficult technical problems. 

• Onboard, Lead, and Mentor junior and mid-level developers.

• Work closely with Data Source contacts, Analysts, Product and Data Intelligence teams to identify opportunities and assess improvements of our products and services. 

• Contribute to workshops with the business user community to further their knowledge and use of the data ecosystem. 

• Produce and maintain accurate project documentation, project planning and presentations. 

• Collaborate with various data providers to resolve dashboard, reporting and data related issues. 

• Perform Data benchmarking, enhancements, optimizations, and platform analytics. 

• Participate in the research, development, and adoption of trends in technology, data and analytics

• Monitor and troubleshoot nightly ETL pipelines, primarily built in Databricks, Azure Data Factory (ADF), and SQL Server to ensure reliable data flow and minimal downtime. 

• Resolve data issues, collaborating with BI Analysts, and Engineering teams to address data latency, quality, and integration problems quickly and effectively. 

• Implement and maintain monitoring and alerting systems usi